Yosef Razin presented his paper, "Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination Tasks" at the 2017 AAAI conference this week in San Francisco, CA. The work showed how accounting for anticipatory eye movements in addition to the movements of the robot improves intent estimation. This research compares the application of various machine learning methods to intent prediction from gaze tracking data during robotic hand-eye coordination tasks.

JAN 31, 2017 - How do pilots perform in the potential air traffic operations of advanced flight deck interval management and closely spaced parellel operations? Well, there's still some work to be done on all fronts - pilot training, procedures, and flight deck systems - according to a newly published study in the AIAA Journal of Air Transportation by CEC Prof. Amy Pritchett and research engineer, Rachel Haga.

DEC 30, 2016 - What information should be presented to or hidden from decision makers in order to facilitate high performance in decision tasks? In a recently accepted article to IEEE Transactions on Human-Machine Systems, "Heuristic Information Acquisition and Restriction for Decision Support," CEC researchers, Marc Canellas and Karen Feigh, contribute new rules for information acquisition and restriction which do not require reliable assessments of probabilities, cue weights, and cue values, as most normative, Bayesian methods do.

DEC 21, 2016 - The CEC graduate students took a trip to Flight Safety International Inc. this week to learn how general and commercial aviation pilots train. They were introduced to the same type of classroom training, flight training devices, and simulators that pilots use. At the conclusion of the trip, the students had the opportunity to pilot the simulators from take-off through landing at night and in fog.

DEC 15, 2016 – What can regulators of human-autonomous systems learn from the literature of cognitive engineering? Five CEC researchers, Marc Canellas, Rachel Haga, Matthew Miller, Yosef Razin, and Dev Minotra, will try to answer this question with their paper, “An Engineer’s Cheat-Sheet for Regulators of Human-Autonomous Systems.” The paper was among the 10% of abstracts accepted to WeRobot 2017, the premier robot law conference in the country, to be held at Yale Law School, one of the top law schools in the U.S. and the world. Their paper builds off two previous articles by Canellas and Haga (2015; 2016) by addressing five major concerns of regulating human-autonomous systems: definitions, complexity, safety, transparency, and accountability.